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Internship Teen Artificial Intelligence Engineer Jobs

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

Aires

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

  • Retirement

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

aires

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

  • Retirement

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

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How much do internship teen artificial intelligence engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship teen artificial intelligence engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Teen Artificial Intelligence Engineer vs Internship Data Scientist?

AspectInternship Teen Artificial Intelligence EngineerInternship Data Scientist
Required CredentialsBasic programming, interest in AI, possibly some coursework in AI or machine learningStatistics, programming, data analysis skills, coursework in data science or related fields
Work EnvironmentTech companies, startups, research labs focusing on AI projectsData analysis teams, research departments, tech firms working with large datasets
Employer & Industry UsageAI-focused companies, tech startups, research institutionsData-driven companies, finance, healthcare, tech firms

Internship Teen Artificial Intelligence Engineer and Internship Data Scientist both offer valuable experience in tech fields. The AI engineer role emphasizes AI and machine learning projects, while the data scientist internship focuses on data analysis and insights. Both internships are suitable for students interested in tech careers, with overlapping skills in programming and data handling, but differ in their specific focus areas.

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Internship Teen Artificial Intelligence Engineer jobs near you

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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